Your reviewer

Practical investigation.
Independent judgement.

Ram Srinivasan leads scoped reviews of underperforming AI workflows, connecting technical questions with the people and processes doing the work.

An operational perspective

Ram is an Electrical and Electronics Engineering graduate of Coimbatore Institute of Technology. His background spans electrical maintenance, software development, IT infrastructure and business ownership.

That experience informs the questions we ask: is the input usable, does the task have a clear standard, who corrects exceptions, and does the complete workflow save effort?

How judgement becomes reviewable

Independent by design

No software sales or vendor commissions. The fee is for the scoped review, written findings and findings meeting. AI tools may assist research and drafting; Pack Networks remains responsible for its advisory findings.

Implementation, technical security assessment and production testing sit with suitably qualified teams. We do not claim certification or guarantee performance improvements.

See the method before you enquire

Our worked diagnostic example uses synthetic figures and explicitly separates calculation, hypotheses and recommended tests. It illustrates the deliverable; it is not a client case study.

Distinct roles

Pack Networks investigates how AI work is operating. For an independent review of a major investment or commitment before approval, see BeforeApproval.

Where is AI costing your team time?

Describe one workflow, one recurring failure and the business consequence. Start with an anonymised description; we will clarify the scope, evidence, turnaround and fee before work begins.

Request a scoped diagnostic